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Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art

The concepts of the modern computer-aided diagnosis (CAD), the methods of pulmonary nodules detection and facts derived from the available literature on the pulmonary nodule differential CAD topic are compiled in one source and described in some details. Several issues of the lung cancer epidemiolog...

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Autores principales: Sprindzuk, M.V., Kovalev, V.A., Snezhko, E.V., Kharuzhyk, S.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3389846/
https://www.ncbi.nlm.nih.gov/pubmed/22802764
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author Sprindzuk, M.V.
Kovalev, V.A.
Snezhko, E.V.
Kharuzhyk, S.A.
author_facet Sprindzuk, M.V.
Kovalev, V.A.
Snezhko, E.V.
Kharuzhyk, S.A.
author_sort Sprindzuk, M.V.
collection PubMed
description The concepts of the modern computer-aided diagnosis (CAD), the methods of pulmonary nodules detection and facts derived from the available literature on the pulmonary nodule differential CAD topic are compiled in one source and described in some details. Several issues of the lung cancer epidemiology and an early diagnosis are discussed. The analysis of the performed research shows an evidence that various CAD systems can be successfully applied for chest radiographs, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET). These modalities can serve as a useful tool for a practicing medical professional facing the burden of a routine diagnostic job.
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spelling pubmed-33898462012-07-16 Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art Sprindzuk, M.V. Kovalev, V.A. Snezhko, E.V. Kharuzhyk, S.A. Pol J Radiol Review Article The concepts of the modern computer-aided diagnosis (CAD), the methods of pulmonary nodules detection and facts derived from the available literature on the pulmonary nodule differential CAD topic are compiled in one source and described in some details. Several issues of the lung cancer epidemiology and an early diagnosis are discussed. The analysis of the performed research shows an evidence that various CAD systems can be successfully applied for chest radiographs, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET). These modalities can serve as a useful tool for a practicing medical professional facing the burden of a routine diagnostic job. International Scientific Literature, Inc. 2010 /pmc/articles/PMC3389846/ /pubmed/22802764 Text en © Pol J Radiol, 2010 This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited.
spellingShingle Review Article
Sprindzuk, M.V.
Kovalev, V.A.
Snezhko, E.V.
Kharuzhyk, S.A.
Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art
title Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art
title_full Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art
title_fullStr Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art
title_full_unstemmed Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art
title_short Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art
title_sort lung cancer differential diagnosis based on the computer assisted radiology: the state of the art
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3389846/
https://www.ncbi.nlm.nih.gov/pubmed/22802764
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